

TSR Consulting Services, Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist focused on developing measurement frameworks, requiring expertise in statistical inference, A/B testing, and Python/SQL. The 6-month remote contract pays competitively; familiarity with Power BI and experience in retail or inventory management is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
March 11, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#A/B Testing #Data Science #Libraries #Python #Data Pipeline #Azure #BI (Business Intelligence) #GCP (Google Cloud Platform) #Cloud #Databricks #Statistics #AWS (Amazon Web Services) #SQL (Structured Query Language) #Microsoft Power BI #Scala #GitHub
Role description
Title – Data Scientist - W2 Position
Location: Folsom Street San Francisco California 94105 - Remote
Duration: 6 Months
Job Description
Measurement Framework Developer Data Scientist (Statistical & Causal Inference)
•
• Candidates should be in EST or CST time zones
About the Role
We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact.
Key Responsibilities:
Design and implement measurement frameworks for solutions in production.
Apply statistical inference and causal methods (e.g., A/B testing, propensity score matching, instrumental variables).
Develop and analyze controlled experiments and observational studies.
Collaborate with stakeholders to define KPIs and measurement strategies.
Write clean, reproducible code for statistical analysis and reporting.
Implement CI/CD principles and manage code repositories using GitHub Enterprise.
Required Qualifications:
Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels.
Experience with A/B testing and experimental design.
Familiarity with Databricks or similar enterprise cloud environments.
Help them develop reports of measurement tasks they are currently running.
They are doing work related to inventory planning, supply planning, measuring pricing vendors.
Supporting with measurement tasks. Someone who is familiar with reporting, dashboards, understands basic statistics, familiar with Power BI and generating reports and results
Measurement and reporting. Developing AB testing reports, they will be very frequently working with reporting tools like Power BI tools that they use, dashboards showing AB tasking results
All these roles are related to inventory from buying, allocation, pricing,
Able to write the data pipelines, collect data from the catalogs
Need to develop out dashboards and reports
Consume results from AB or measurements tasking to dashboards
Power BI is a must
Preferred Qualifications
Experience in retail, inventory management, or operations research.
Exposure to cloud platforms (Azure, AWS, GCP).
Title – Data Scientist - W2 Position
Location: Folsom Street San Francisco California 94105 - Remote
Duration: 6 Months
Job Description
Measurement Framework Developer Data Scientist (Statistical & Causal Inference)
•
• Candidates should be in EST or CST time zones
About the Role
We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact.
Key Responsibilities:
Design and implement measurement frameworks for solutions in production.
Apply statistical inference and causal methods (e.g., A/B testing, propensity score matching, instrumental variables).
Develop and analyze controlled experiments and observational studies.
Collaborate with stakeholders to define KPIs and measurement strategies.
Write clean, reproducible code for statistical analysis and reporting.
Implement CI/CD principles and manage code repositories using GitHub Enterprise.
Required Qualifications:
Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels.
Experience with A/B testing and experimental design.
Familiarity with Databricks or similar enterprise cloud environments.
Help them develop reports of measurement tasks they are currently running.
They are doing work related to inventory planning, supply planning, measuring pricing vendors.
Supporting with measurement tasks. Someone who is familiar with reporting, dashboards, understands basic statistics, familiar with Power BI and generating reports and results
Measurement and reporting. Developing AB testing reports, they will be very frequently working with reporting tools like Power BI tools that they use, dashboards showing AB tasking results
All these roles are related to inventory from buying, allocation, pricing,
Able to write the data pipelines, collect data from the catalogs
Need to develop out dashboards and reports
Consume results from AB or measurements tasking to dashboards
Power BI is a must
Preferred Qualifications
Experience in retail, inventory management, or operations research.
Exposure to cloud platforms (Azure, AWS, GCP).





